IL291956A - Image reconstruction by modeling image formation as one or more neural networks - Google Patents

Image reconstruction by modeling image formation as one or more neural networks

Info

Publication number
IL291956A
IL291956A IL291956A IL29195622A IL291956A IL 291956 A IL291956 A IL 291956A IL 291956 A IL291956 A IL 291956A IL 29195622 A IL29195622 A IL 29195622A IL 291956 A IL291956 A IL 291956A
Authority
IL
Israel
Prior art keywords
neural networks
modeling
image
image formation
reconstruction
Prior art date
Application number
IL291956A
Other languages
Hebrew (he)
Original Assignee
Siemens Medical Solutions Usa Inc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Siemens Medical Solutions Usa Inc filed Critical Siemens Medical Solutions Usa Inc
Publication of IL291956A publication Critical patent/IL291956A/en

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
    • G06F18/2413—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on distances to training or reference patterns
    • G06F18/24133—Distances to prototypes
    • G06F18/24143—Distances to neighbourhood prototypes, e.g. restricted Coulomb energy networks [RCEN]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/00—2D [Two Dimensional] image generation
    • G06T11/003—Reconstruction from projections, e.g. tomography
    • G06T11/006—Inverse problem, transformation from projection-space into object-space, e.g. transform methods, back-projection, algebraic methods
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/00—2D [Two Dimensional] image generation
    • G06T11/003—Reconstruction from projections, e.g. tomography
    • G06T11/005—Specific pre-processing for tomographic reconstruction, e.g. calibration, source positioning, rebinning, scatter correction, retrospective gating
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/00—2D [Two Dimensional] image generation
    • G06T11/003—Reconstruction from projections, e.g. tomography
    • G06T11/008—Specific post-processing after tomographic reconstruction, e.g. voxelisation, metal artifact correction
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration
    • G06T5/73—Deblurring; Sharpening
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G06T7/0012—Biomedical image inspection
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10072—Tomographic images
    • G06T2207/10108—Single photon emission computed tomography [SPECT]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20081—Training; Learning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20084—Artificial neural networks [ANN]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2211/00—Image generation
    • G06T2211/40—Computed tomography
    • G06T2211/424—Iterative
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2211/00—Image generation
    • G06T2211/40—Computed tomography
    • G06T2211/441—AI-based methods, deep learning or artificial neural networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V2201/00—Indexing scheme relating to image or video recognition or understanding
    • G06V2201/03—Recognition of patterns in medical or anatomical images

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Mathematical Physics (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • General Engineering & Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • Pure & Applied Mathematics (AREA)
  • Mathematical Optimization (AREA)
  • Algebra (AREA)
  • Mathematical Analysis (AREA)
  • Radiology & Medical Imaging (AREA)
  • Biomedical Technology (AREA)
  • Software Systems (AREA)
  • Medical Informatics (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Computing Systems (AREA)
  • Quality & Reliability (AREA)
  • Molecular Biology (AREA)
  • Biophysics (AREA)
  • Computational Linguistics (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • Nuclear Medicine (AREA)
  • Apparatus For Radiation Diagnosis (AREA)
  • Image Processing (AREA)
IL291956A 2019-10-09 2022-04-04 Image reconstruction by modeling image formation as one or more neural networks IL291956A (en)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/US2019/055293 WO2021071476A1 (en) 2019-10-09 2019-10-09 Image reconstruction by modeling image formation as one or more neural networks

Publications (1)

Publication Number Publication Date
IL291956A true IL291956A (en) 2022-07-01

Family

ID=75438024

Family Applications (1)

Application Number Title Priority Date Filing Date
IL291956A IL291956A (en) 2019-10-09 2022-04-04 Image reconstruction by modeling image formation as one or more neural networks

Country Status (6)

Country Link
US (1) US20220215601A1 (en)
EP (1) EP4026054A4 (en)
JP (1) JP7459243B2 (en)
CN (1) CN114503118A (en)
IL (1) IL291956A (en)
WO (1) WO2021071476A1 (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111862320B (en) * 2020-09-21 2020-12-11 之江实验室 Automatic steering method for SPECT three-dimensional reconstruction image to standard view

Family Cites Families (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP4453734B2 (en) * 2007-09-21 2010-04-21 ソニー株式会社 Image processing apparatus, image processing method, image processing program, and imaging apparatus
KR20130083205A (en) 2012-01-12 2013-07-22 삼성전자주식회사 Apparatus and method of correcting positron emission tomography image
GB201219403D0 (en) * 2012-10-29 2012-12-12 Uni I Olso Method for improved estimation of tracer uptake in physiological image volumes
US10387765B2 (en) * 2016-06-23 2019-08-20 Siemens Healthcare Gmbh Image correction using a deep generative machine-learning model
US20180018757A1 (en) * 2016-07-13 2018-01-18 Kenji Suzuki Transforming projection data in tomography by means of machine learning
US10593071B2 (en) 2017-04-14 2020-03-17 Siemens Medical Solutions Usa, Inc. Network training and architecture for medical imaging
US20180330233A1 (en) 2017-05-11 2018-11-15 General Electric Company Machine learning based scatter correction
JP2019032211A (en) 2017-08-07 2019-02-28 株式会社島津製作所 Nuclear medicine diagnosis device
US11517197B2 (en) * 2017-10-06 2022-12-06 Canon Medical Systems Corporation Apparatus and method for medical image reconstruction using deep learning for computed tomography (CT) image noise and artifacts reduction
EP3542721A1 (en) * 2018-03-23 2019-09-25 Siemens Healthcare GmbH Method for processing parameters of a machine learning method and reconstruction method

Also Published As

Publication number Publication date
US20220215601A1 (en) 2022-07-07
JP2022552218A (en) 2022-12-15
EP4026054A4 (en) 2022-11-30
WO2021071476A1 (en) 2021-04-15
EP4026054A1 (en) 2022-07-13
CN114503118A (en) 2022-05-13
JP7459243B2 (en) 2024-04-01

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